Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "95" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 104 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 102 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459921 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.984751 | -1.274753 | -1.386009 | -0.147791 | -0.833420 | -1.925523 | 0.233026 | 1.226187 | 0.6265 | 0.6657 | 0.4180 | nan | nan |
| 2459920 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.629031 | -1.450660 | -1.112760 | 0.107920 | -0.905708 | -1.015589 | -0.717642 | 0.137629 | 0.6253 | 0.6638 | 0.4194 | nan | nan |
| 2459919 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.438205 | -1.095203 | -0.791446 | 0.604267 | -1.280531 | -0.820407 | -1.126305 | -0.781327 | 0.6262 | 0.6593 | 0.3933 | nan | nan |
| 2459918 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 1.372922 | 0.077472 | -0.425690 | 0.908643 | -0.319754 | -0.686451 | 0.842059 | 1.169292 | 0.6379 | 0.6739 | 0.4059 | nan | nan |
| 2459917 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 1.180963 | -1.089231 | -0.879855 | 0.754874 | 0.616433 | -1.484013 | 0.540994 | 2.472858 | 0.6689 | 0.7063 | 0.4664 | nan | nan |
| 2459916 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.592397 | -0.221311 | -0.664146 | 0.661802 | -0.644955 | -0.938626 | 0.149645 | -0.209398 | 0.6391 | 0.6773 | 0.4102 | nan | nan |
| 2459915 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.920136 | -0.476547 | -0.765865 | 1.169437 | 0.232427 | -0.305696 | -0.594330 | -0.767740 | 0.6717 | 0.7023 | 0.3761 | nan | nan |
| 2459914 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 2.034114 | -0.542312 | -0.803577 | 1.415478 | -0.480764 | -0.190656 | -1.366588 | -0.455199 | 0.6940 | 0.7300 | 0.3287 | nan | nan |
| 2459913 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 1.182787 | 0.052370 | -0.756331 | 1.018901 | -0.466143 | 0.076753 | -1.126732 | -0.026424 | 0.6443 | 0.6699 | 0.4116 | nan | nan |
| 2459912 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.636690 | -0.379070 | -0.886727 | 0.455290 | -0.624731 | -1.580306 | -0.937623 | -0.498720 | 0.6247 | 0.6682 | 0.4143 | nan | nan |
| 2459911 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.420147 | -0.199424 | -0.732606 | 0.672746 | -0.446870 | -1.744851 | -0.836550 | 1.255351 | 0.6273 | 0.6679 | 0.4164 | nan | nan |
| 2459910 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.296705 | -0.120361 | -0.731325 | 0.599843 | -0.430772 | -2.059145 | -0.723906 | 0.305078 | 0.6296 | 0.6683 | 0.4159 | nan | nan |
| 2459909 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.476974 | -0.078560 | -0.912768 | 0.360036 | -0.117043 | -1.787716 | 0.696453 | 0.156398 | 0.6288 | 0.6685 | 0.4140 | nan | nan |
| 2459908 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.548376 | -0.169075 | -0.724335 | 0.361355 | -0.480033 | -1.607993 | 0.237840 | 0.047142 | 0.6332 | 0.6747 | 0.4126 | nan | nan |
| 2459907 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.789352 | -0.226925 | -0.758774 | 0.363205 | -0.186883 | -1.639364 | 1.069284 | 5.016798 | 0.6315 | 0.6751 | 0.4113 | nan | nan |
| 2459906 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.831997 | -0.134143 | -0.403640 | 1.002285 | -0.435475 | -0.438364 | 0.652318 | 7.239838 | 0.6217 | 0.6685 | 0.4140 | nan | nan |
| 2459905 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.861688 | 0.022777 | -0.655696 | 0.902529 | -0.368668 | -1.188652 | 1.474945 | 11.952297 | 0.6153 | 0.6626 | 0.4141 | nan | nan |
| 2459904 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.470194 | -0.029745 | -0.403826 | 1.203381 | -0.275988 | -0.509059 | -1.122361 | 12.285899 | 0.6210 | 0.6640 | 0.4083 | nan | nan |
| 2459903 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.230467 | 0.072940 | -0.537799 | 0.890963 | -0.156108 | -0.523421 | -0.712783 | 5.846118 | 0.6279 | 0.6683 | 0.4145 | nan | nan |
| 2459902 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.873051 | 0.503541 | -0.450338 | 1.294937 | -0.195083 | -0.461751 | 2.153794 | 5.067071 | 0.6312 | 0.6676 | 0.4047 | nan | nan |
| 2459901 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.286684 | -0.149090 | -0.843834 | 0.568624 | 0.326642 | -0.824593 | 0.097072 | 2.104209 | 0.6243 | 0.6646 | 0.4138 | nan | nan |
| 2459900 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.166254 | -0.082981 | -0.886851 | 0.599793 | 0.531889 | -0.896622 | 0.254596 | -0.152249 | 0.5732 | 0.6302 | 0.3516 | nan | nan |
| 2459898 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.081152 | -0.271471 | -0.732603 | 0.672905 | -0.288075 | -1.038623 | -1.209632 | -1.143846 | 0.6319 | 0.6711 | 0.4104 | nan | nan |
| 2459897 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.397888 | -0.040839 | -0.395085 | 0.838963 | -0.082943 | -0.889262 | 0.665138 | 2.311520 | 0.6371 | 0.6751 | 0.4035 | nan | nan |
| 2459896 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.164480 | 0.051773 | -0.433838 | 0.823834 | -0.611024 | -1.290687 | 2.575501 | 3.415780 | 0.6423 | 0.6786 | 0.4035 | nan | nan |
| 2459895 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.691551 | -0.180411 | -0.732994 | 1.734579 | -1.670251 | -0.132043 | -1.364474 | 0.388515 | 0.7368 | 0.7539 | 0.2861 | nan | nan |
| 2459894 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.437684 | -0.382683 | -0.576665 | 0.791063 | -0.675394 | -1.186231 | 0.064845 | 1.743457 | 0.6466 | 0.6794 | 0.3914 | nan | nan |
| 2459893 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.026259 | -0.383761 | -0.674021 | 0.574741 | -0.717971 | -1.205448 | -0.000721 | 1.441657 | 0.6484 | 0.6803 | 0.3943 | nan | nan |
| 2459892 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.329606 | -0.239003 | -0.676790 | 0.842370 | 0.131635 | -1.007107 | 1.010335 | 2.854343 | 0.6410 | 0.6791 | 0.3997 | nan | nan |
| 2459891 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.051602 | -0.393956 | -0.437580 | 1.044443 | -0.289417 | -1.616502 | -1.137607 | -0.741813 | 0.6345 | 0.6726 | 0.4058 | nan | nan |
| 2459890 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 1.020407 | -0.354809 | -0.919529 | 1.616054 | -0.397970 | -0.889917 | 1.842396 | 1.461810 | 0.6339 | 0.6692 | 0.4006 | nan | nan |
| 2459889 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.612306 | -0.338221 | -0.535396 | 1.003182 | -0.286008 | -1.638721 | 0.126476 | 1.215980 | 0.6436 | 0.6740 | 0.3961 | nan | nan |
| 2459888 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.514188 | -0.200070 | -0.636541 | 1.406185 | -0.609412 | -0.993770 | 1.128034 | 1.354739 | 0.6613 | 0.6925 | 0.3899 | nan | nan |
| 2459887 | not_connected | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.221258 | -0.554298 | -1.639626 | 0.624966 | -1.503525 | -2.001672 | 0.797743 | 0.379853 | 0.6471 | 0.6755 | 0.4018 | nan | nan |
| 2459886 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.279549 | -0.851047 | -0.576653 | 1.025857 | 5.060935 | 2.180329 | -0.740210 | 0.199277 | 0.7213 | 0.7265 | 0.3514 | nan | nan |
| 2459885 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.695861 | 1.557713 | 16.171541 | 29.447813 | 3.278362 | 4.495643 | 5.386560 | 6.053138 | 0.6946 | 0.7090 | 0.3638 | nan | nan |
| 2459884 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.280674 | 3.937696 | 3.634070 | 4.624247 | 2.633001 | 5.211318 | -1.735213 | -2.526394 | 0.6556 | 0.6548 | 0.3997 | nan | nan |
| 2459883 | not_connected | 100.00% | 0.00% | 0.00% | 100.00% | - | - | 6.611531 | 5.955657 | 39.892401 | 39.854328 | 4.886329 | 8.962299 | -5.037797 | -3.605181 | 0.2728 | 0.2759 | -0.2967 | nan | nan |
| 2459882 | not_connected | 100.00% | 0.00% | 0.00% | 97.95% | - | - | 10.148774 | 9.274650 | 47.467838 | 46.182966 | 6.600504 | 12.001650 | -1.943426 | -1.835854 | 0.2841 | 0.2849 | -0.2939 | nan | nan |
| 2459881 | not_connected | 100.00% | 0.00% | 0.00% | 82.20% | - | - | 6.820248 | 5.995837 | 53.276689 | 52.203485 | 12.289803 | 22.737913 | -3.953096 | 5.347069 | 0.3898 | 0.3888 | -0.2496 | nan | nan |
| 2459880 | not_connected | 100.00% | 0.00% | 0.00% | 99.66% | - | - | 7.299539 | 6.642049 | 42.541963 | 42.480060 | 4.094876 | 7.694820 | -2.440581 | -2.200268 | 0.2646 | 0.2661 | -0.3068 | nan | nan |
| 2459879 | not_connected | 0.00% | 0.00% | 0.00% | 100.00% | - | - | 2.730598 | 2.260675 | 1.902224 | 1.570610 | -0.261961 | 0.706599 | -3.656034 | -3.695475 | 0.2281 | 0.2242 | -0.2927 | nan | nan |
| 2459878 | not_connected | 100.00% | 0.00% | 0.00% | 100.00% | - | - | 6.621751 | 6.807458 | 51.766945 | 51.922227 | 7.178234 | 12.856198 | -4.688550 | -5.024469 | 0.2446 | 0.2431 | -0.2822 | nan | nan |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 1.226187 | 0.984751 | -1.274753 | -1.386009 | -0.147791 | -0.833420 | -1.925523 | 0.233026 | 1.226187 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | ee Shape | 0.629031 | -1.450660 | 0.629031 | 0.107920 | -1.112760 | -1.015589 | -0.905708 | 0.137629 | -0.717642 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Power | 0.604267 | 0.438205 | -1.095203 | -0.791446 | 0.604267 | -1.280531 | -0.820407 | -1.126305 | -0.781327 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | ee Shape | 1.372922 | 0.077472 | 1.372922 | 0.908643 | -0.425690 | -0.686451 | -0.319754 | 1.169292 | 0.842059 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 2.472858 | -1.089231 | 1.180963 | 0.754874 | -0.879855 | -1.484013 | 0.616433 | 2.472858 | 0.540994 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Power | 0.661802 | 0.592397 | -0.221311 | -0.664146 | 0.661802 | -0.644955 | -0.938626 | 0.149645 | -0.209398 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Power | 1.169437 | 0.920136 | -0.476547 | -0.765865 | 1.169437 | 0.232427 | -0.305696 | -0.594330 | -0.767740 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | ee Shape | 2.034114 | 2.034114 | -0.542312 | -0.803577 | 1.415478 | -0.480764 | -0.190656 | -1.366588 | -0.455199 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | ee Shape | 1.182787 | 0.052370 | 1.182787 | 1.018901 | -0.756331 | 0.076753 | -0.466143 | -0.026424 | -1.126732 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | ee Shape | 0.636690 | -0.379070 | 0.636690 | 0.455290 | -0.886727 | -1.580306 | -0.624731 | -0.498720 | -0.937623 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 1.255351 | -0.199424 | 0.420147 | 0.672746 | -0.732606 | -1.744851 | -0.446870 | 1.255351 | -0.836550 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Power | 0.599843 | -0.120361 | 0.296705 | 0.599843 | -0.731325 | -2.059145 | -0.430772 | 0.305078 | -0.723906 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | ee Temporal Discontinuties | 0.696453 | -0.078560 | 0.476974 | 0.360036 | -0.912768 | -1.787716 | -0.117043 | 0.156398 | 0.696453 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | ee Shape | 0.548376 | 0.548376 | -0.169075 | -0.724335 | 0.361355 | -0.480033 | -1.607993 | 0.237840 | 0.047142 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 5.016798 | -0.226925 | 0.789352 | 0.363205 | -0.758774 | -1.639364 | -0.186883 | 5.016798 | 1.069284 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 7.239838 | -0.134143 | 0.831997 | 1.002285 | -0.403640 | -0.438364 | -0.435475 | 7.239838 | 0.652318 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 11.952297 | 0.022777 | 0.861688 | 0.902529 | -0.655696 | -1.188652 | -0.368668 | 11.952297 | 1.474945 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 12.285899 | -0.029745 | 0.470194 | 1.203381 | -0.403826 | -0.509059 | -0.275988 | 12.285899 | -1.122361 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 5.846118 | 0.072940 | 0.230467 | 0.890963 | -0.537799 | -0.523421 | -0.156108 | 5.846118 | -0.712783 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 5.067071 | 0.873051 | 0.503541 | -0.450338 | 1.294937 | -0.195083 | -0.461751 | 2.153794 | 5.067071 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 2.104209 | 0.286684 | -0.149090 | -0.843834 | 0.568624 | 0.326642 | -0.824593 | 0.097072 | 2.104209 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Power | 0.599793 | 0.166254 | -0.082981 | -0.886851 | 0.599793 | 0.531889 | -0.896622 | 0.254596 | -0.152249 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Power | 0.672905 | -0.271471 | 0.081152 | 0.672905 | -0.732603 | -1.038623 | -0.288075 | -1.143846 | -1.209632 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 2.311520 | -0.040839 | 0.397888 | 0.838963 | -0.395085 | -0.889262 | -0.082943 | 2.311520 | 0.665138 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 3.415780 | 0.051773 | 0.164480 | 0.823834 | -0.433838 | -1.290687 | -0.611024 | 3.415780 | 2.575501 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Power | 1.734579 | 0.691551 | -0.180411 | -0.732994 | 1.734579 | -1.670251 | -0.132043 | -1.364474 | 0.388515 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 1.743457 | -0.382683 | 0.437684 | 0.791063 | -0.576665 | -1.186231 | -0.675394 | 1.743457 | 0.064845 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 1.441657 | 0.026259 | -0.383761 | -0.674021 | 0.574741 | -0.717971 | -1.205448 | -0.000721 | 1.441657 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 2.854343 | -0.239003 | 0.329606 | 0.842370 | -0.676790 | -1.007107 | 0.131635 | 2.854343 | 1.010335 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Power | 1.044443 | 0.051602 | -0.393956 | -0.437580 | 1.044443 | -0.289417 | -1.616502 | -1.137607 | -0.741813 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | ee Temporal Discontinuties | 1.842396 | -0.354809 | 1.020407 | 1.616054 | -0.919529 | -0.889917 | -0.397970 | 1.461810 | 1.842396 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Discontinuties | 1.215980 | 0.612306 | -0.338221 | -0.535396 | 1.003182 | -0.286008 | -1.638721 | 0.126476 | 1.215980 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Power | 1.406185 | -0.200070 | 0.514188 | 1.406185 | -0.636541 | -0.993770 | -0.609412 | 1.354739 | 1.128034 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | ee Temporal Discontinuties | 0.797743 | -0.554298 | 0.221258 | 0.624966 | -1.639626 | -2.001672 | -1.503525 | 0.379853 | 0.797743 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | ee Temporal Variability | 5.060935 | 0.279549 | -0.851047 | -0.576653 | 1.025857 | 5.060935 | 2.180329 | -0.740210 | 0.199277 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Power | 29.447813 | 1.557713 | 2.695861 | 29.447813 | 16.171541 | 4.495643 | 3.278362 | 6.053138 | 5.386560 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Temporal Variability | 5.211318 | 3.937696 | 2.280674 | 4.624247 | 3.634070 | 5.211318 | 2.633001 | -2.526394 | -1.735213 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | ee Power | 39.892401 | 5.955657 | 6.611531 | 39.854328 | 39.892401 | 8.962299 | 4.886329 | -3.605181 | -5.037797 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | ee Power | 47.467838 | 9.274650 | 10.148774 | 46.182966 | 47.467838 | 12.001650 | 6.600504 | -1.835854 | -1.943426 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | ee Power | 53.276689 | 5.995837 | 6.820248 | 52.203485 | 53.276689 | 22.737913 | 12.289803 | 5.347069 | -3.953096 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | ee Power | 42.541963 | 6.642049 | 7.299539 | 42.480060 | 42.541963 | 7.694820 | 4.094876 | -2.200268 | -2.440581 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | ee Shape | 2.730598 | 2.260675 | 2.730598 | 1.570610 | 1.902224 | 0.706599 | -0.261961 | -3.695475 | -3.656034 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | N11 | not_connected | nn Power | 51.922227 | 6.807458 | 6.621751 | 51.922227 | 51.766945 | 12.856198 | 7.178234 | -5.024469 | -4.688550 |